Yuzo Maruyama

601 total citations
40 papers, 346 citations indexed

About

Yuzo Maruyama is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Yuzo Maruyama has authored 40 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Statistics and Probability, 7 papers in Artificial Intelligence and 5 papers in Statistics, Probability and Uncertainty. Recurrent topics in Yuzo Maruyama's work include Advanced Statistical Methods and Models (21 papers), Statistical Methods and Inference (17 papers) and Statistical Methods and Bayesian Inference (13 papers). Yuzo Maruyama is often cited by papers focused on Advanced Statistical Methods and Models (21 papers), Statistical Methods and Inference (17 papers) and Statistical Methods and Bayesian Inference (13 papers). Yuzo Maruyama collaborates with scholars based in Japan, United States and Netherlands. Yuzo Maruyama's co-authors include Edward I. George, William E. Strawderman, Takashi Yamada, Ichiro Komiya, Masanobu Kotani, Ryōji Kobayashi, Yoichi Koizumi, Hajime Goto, Yasuhito Sasaki and Hiroyasu Ogata and has published in prestigious journals such as IEEE Transactions on Information Theory, The American Journal of Medicine and Biometrika.

In The Last Decade

Yuzo Maruyama

36 papers receiving 320 citations

Peers

Yuzo Maruyama
Comparison fields: 5 of 70
  • Statistics and Probability 217
  • Artificial Intelligence 67
  • Endocrinology, Diabetes and Metabolism 46
  • Surgery 42
  • Statistics, Probability and Uncertainty 27
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Citations per field, relative to Yuzo Maruyama
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Citations per year, relative to Yuzo Maruyama
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Countries citing papers authored by Yuzo Maruyama

Since Specialization
Citations

This map shows the geographic impact of Yuzo Maruyama's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yuzo Maruyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuzo Maruyama more than expected).

Fields of papers citing papers by Yuzo Maruyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuzo Maruyama. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yuzo Maruyama. The network helps show where Yuzo Maruyama may publish in the future.

Co-authorship network of co-authors of Yuzo Maruyama

This figure shows the co-authorship network connecting the top 25 collaborators of Yuzo Maruyama. A scholar is included among the top collaborators of Yuzo Maruyama based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yuzo Maruyama. Yuzo Maruyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 1
3 6
4 3
5 7
6 1
7 1
8 5
9
A g-prior extension for p>n
2
10 2
11 3
12 8
13 9
14
Minimax Admissible Estimation of a Multivariate Normal Mean and Improvement upon the James-Stein Estimator
3
15 16
16 1
17 1
18 17
19 4
20
[Section staining technique for whole body autoradiographic studies of the mice].
1

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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